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当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重,可浏览“模型文件”页面获取。 您可以通过如下git clone命令,或者ModelScope SDK来下载模型 SDK下载 #安装ModelS
330
Model card for tresnetv2l.miil_in21k A TResNet image classification model. Trained on ImageNet-21K-P
330pytorchimage-classification
当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重,可浏览“模型文件”页面获取。 您可以通过如下git clone命令,或者ModelScope SDK来下载模型 SDK下载 #安装ModelS
200qwen2
Model card for seresnextaa201d32x8d.swin12k A SE-ResNeXt-D (Rectangle-2 Anti-Aliasing) image classif
270pytorchimage-classification
Model card for vithugepatch14_224.mae A Vision Transformer (ViT) image feature model. Pretrained on
260pytorchimage-feature-extraction
Introduction Models in this repo are converted from https://www.modelscope.cn/models/iic/speechparaf
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Model card for vitlargepatch14_dinov2.lvd142m A Vision Transformer (ViT) image feature model. Pretra
270pytorchimage-feature-extraction
这里包含一系列预先量化的 LLM,可供 ChatLLM.cpp 直接使用。 注意:这里出于研究、学习之目的提供量化模型,每种模型的使用请遵循相应的用户协议。
160other
CLIP (OpenAI model for timm) Model Details The CLIP model was developed by researchers at OpenAI to
350pytorchimage-feature-extraction
Model card for vitbasepatch16_224.mae A Vision Transformer (ViT) image feature model. Pretrained on
260pytorchimage-feature-extraction
Model card for seresnextaa201d32x8d.swin12kftin1k_384 A SE-ResNeXt-D (Rectangle-2 Anti-Aliasing) ima
250pytorchimage-classification
当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重,可浏览“模型文件”页面获取。 您可以通过如下git clone命令,或者ModelScope SDK来下载模型 SDK下载 #安装ModelS
190qwen2
MinerU项目中使用的模型,欢迎下载使用。 模型使用请参考PDF-Extract-Kit项目。 SDK Download # First, install the ModelScope librar
310
InternVL2-Llama3-76B [? GitHub] [? Blog] [? InternVL 1.0 Paper] [? InternVL 1.5 Report] [?️ Chat
430pytorch
Using this open-source model in production? Consider switching to pyannoteAI for better and faster o
280
Model card for vitbasepatch8_224.dino A Vision Transformer (ViT) image feature model. Trained with S
250pytorchimage-feature-extraction
Model card for resnet18.a1_in1k A ResNet-B image classification model. This model features: ReLU ac
420pytorchimage-classification
*.onnx models are converted from https://www.modelscope.cn/models/damo/speechparaformerasr_nat-zh-cn
310
当前模型的贡献者未提供更加详细的模型介绍。模型文件和权重,可浏览“模型文件”页面获取。 您可以通过如下git clone命令,或者ModelScope SDK来下载模型 SDK下载 #安装ModelS
310
Model card for tresnetm.miilin21k A TResNet image classification model. Trained on ImageNet-21K-P ("
240pytorchimage-classification
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